initial commit

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala

@@ -178,7 +178,7 @@ class CodegenContext {
 
     /**
      * Returns the reference of next available slot in current compacted array. The size of each
-     * compacted array is controlled by the config `CodeGenerator.MUTABLESTATEARRAY_SIZE_LIMIT`.
+     * compacted array is controlled by the constant `CodeGenerator.MUTABLESTATEARRAY_SIZE_LIMIT`.
      * Once reaching the threshold, new compacted array is created.
      */
     def getNextSlot(): String = {
@@ -299,7 +299,7 @@ class CodegenContext {
   def initMutableStates(): String = {
     // It's possible that we add same mutable state twice, e.g. the `mergeExpressions` in
     // `TypedAggregateExpression`, we should call `distinct` here to remove the duplicated ones.
-    val initCodes = mutableStateInitCode.distinct
+    val initCodes = mutableStateInitCode.distinct.map(_ + "\n")
 
     // The generated initialization code may exceed 64kb function size limit in JVM if there are too
     // many mutable states, so split it into multiple functions.

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/regexpExpressions.scala

@@ -118,9 +118,8 @@ case class Like(left: Expression, right: Expression) extends StringRegexExpressi
       if (rVal != null) {
         val regexStr =
           StringEscapeUtils.escapeJava(escape(rVal.asInstanceOf[UTF8String].toString()))
-        // inline mutable state since not many Like operations in a task
         val pattern = ctx.addMutableState(patternClass, "patternLike",
-          v => s"""$v = ${patternClass}.compile("$regexStr");""", forceInline = true)
+          v => s"""$v = ${patternClass}.compile("$regexStr");""")
 
         // We don't use nullSafeCodeGen here because we don't want to re-evaluate right again.
         val eval = left.genCode(ctx)
@@ -194,9 +193,8 @@ case class RLike(left: Expression, right: Expression) extends StringRegexExpress
       if (rVal != null) {
         val regexStr =
           StringEscapeUtils.escapeJava(rVal.asInstanceOf[UTF8String].toString())
-        // inline mutable state since not many RLike operations in a task
         val pattern = ctx.addMutableState(patternClass, "patternRLike",
-          v => s"""$v = ${patternClass}.compile("$regexStr");""", forceInline = true)
+          v => s"""$v = ${patternClass}.compile("$regexStr");""")
 
         // We don't use nullSafeCodeGen here because we don't want to re-evaluate right again.
         val eval = left.genCode(ctx)

sql/core/src/main/scala/org/apache/spark/sql/execution/WholeStageCodegenExec.scala

@@ -283,7 +283,7 @@ case class InputAdapter(child: SparkPlan) extends UnaryExecNode with CodegenSupp
 
   override def doProduce(ctx: CodegenContext): String = {
     // Right now, InputAdapter is only used when there is one input RDD.
-    // inline mutable state since an inputAdaptor in a task
+    // inline mutable state since an InputAdapter in a task
     val input = ctx.addMutableState("scala.collection.Iterator", "input", v => s"$v = inputs[0];",
       forceInline = true)
     val row = ctx.freshName("row")

sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/HashAggregateExec.scala

@@ -587,20 +587,24 @@ case class HashAggregateExec(
           fastHashMapClassName, groupingKeySchema, bufferSchema).generate()
         ctx.addInnerClass(generatedMap)
 
+        // inline mutable state since not many aggregation operations in a task
         fastHashMapTerm = ctx.addMutableState(fastHashMapClassName, "vectorizedHastHashMap",
-          v => s"$v = new $fastHashMapClassName();")
-        ctx.addMutableState(s"java.util.Iterator<InternalRow>", "vectorizedFastHashMapIter")
+          v => s"$v = new $fastHashMapClassName();", forceInline = true)
+        ctx.addMutableState(s"java.util.Iterator<InternalRow>", "vectorizedFastHashMapIter",
+          forceInline = true)
       } else {
         val generatedMap = new RowBasedHashMapGenerator(ctx, aggregateExpressions,
           fastHashMapClassName, groupingKeySchema, bufferSchema).generate()
         ctx.addInnerClass(generatedMap)
 
+        // inline mutable state since not many aggregation operations in a task
         fastHashMapTerm = ctx.addMutableState(fastHashMapClassName, "fastHashMap",
           v => s"$v = new $fastHashMapClassName(" +
-            s"$thisPlan.getTaskMemoryManager(), $thisPlan.getEmptyAggregationBuffer());")
+            s"$thisPlan.getTaskMemoryManager(), $thisPlan.getEmptyAggregationBuffer());",
+          forceInline = true)
         ctx.addMutableState(
           "org.apache.spark.unsafe.KVIterator<UnsafeRow, UnsafeRow>",
-          "fastHashMapIter")
+          "fastHashMapIter", forceInline = true)
       }
     }
 
@@ -611,7 +615,7 @@ case class HashAggregateExec(
     // create hashMap
     val hashMapClassName = classOf[UnsafeFixedWidthAggregationMap].getName
     hashMapTerm = ctx.addMutableState(hashMapClassName, "hashMap",
-      v => s"$v = $thisPlan.createHashMap();")
+      v => s"$v = $thisPlan.createHashMap();", forceInline = true)
     sorterTerm = ctx.addMutableState(classOf[UnsafeKVExternalSorter].getName, "sorter",
       forceInline = true)
 

sql/core/src/main/scala/org/apache/spark/sql/execution/joins/SortMergeJoinExec.scala

@@ -440,8 +440,9 @@ case class SortMergeJoinExec(
     val spillThreshold = getSpillThreshold
     val inMemoryThreshold = getInMemoryThreshold
 
+    // inline mutable state since not many join operations in a task
     val matches = ctx.addMutableState(clsName, "matches",
-      v => s"$v = new $clsName($inMemoryThreshold, $spillThreshold);")
+      v => s"$v = new $clsName($inMemoryThreshold, $spillThreshold);", forceInline = true)
     // Copy the left keys as class members so they could be used in next function call.
     val matchedKeyVars = copyKeys(ctx, leftKeyVars)